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  • All HBS Web  (8,631)
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Show Results For

  • All HBS Web  (8,631)
    • People  (24)
    • News  (2,324)
    • Research  (5,612)
    • Events  (19)
    • Multimedia  (259)
  • Faculty Publications  (4,114)
← Page 12 of 8,631 Results →
  • 2023
  • Working Paper

The Complexity of Economic Decisions

By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
  • March 2006
  • Module Note

Financing Decisions within the Firm

By: Mihir A. Desai and Kathleen Luchs
Describes a core module in the International Finance course at Harvard Business School. The module focuses on the financial and managerial issues that confront managers who make financial decisions within multinational firms: how subsidiaries should be financed and... View Details
Keywords: Decisions; International Finance; Taxation; Business Subsidiaries; Multinational Firms and Management; Framework; Performance Evaluation; Management Analysis, Tools, and Techniques
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Desai, Mihir A., and Kathleen Luchs. "Financing Decisions within the Firm." Harvard Business School Module Note 206-124, March 2006.
  • October 1980 (Revised June 1993)
  • Background Note

Introduction to Decision Analysis

By: Paul A. Vatter
Keywords: Decision Making; Management Analysis, Tools, and Techniques
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Vatter, Paul A. "Introduction to Decision Analysis." Harvard Business School Background Note 181-046, October 1980. (Revised June 1993.)
  • 1988
  • Other Unpublished Work

Structure of the U.S. Government Decision Making Process - HBS Technical Note - See professor

By: J. Ronald Fox
Keywords: Decision Making; Government and Politics; United States
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Fox, J. Ronald. "Structure of the U.S. Government Decision Making Process - HBS Technical Note - See professor." May 1988.
  • 1 Feb 2008
  • Lecture

The Devil Wears Prada: The Effect of Exposure to Luxury Goods on Ethical Decision Making

By: Roy Y.J. Chua and X. Zou
Keywords: Luxury; Ethics; Decision Making
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Chua, Roy Y.J., and X. Zou. "The Devil Wears Prada: The Effect of Exposure to Luxury Goods on Ethical Decision Making." Lecture at the Society for Personality and Social Psychology Annual Meeting, Albuquerque, NM, February 1, 2008.
  • October 2000 (Revised June 2017)
  • Case

Vyaderm Pharmaceuticals: The EVA Decision

By: Robert Simons and Indra A. Reinbergs
In 2016, the new CEO of Vyaderm Pharmaceuticals introduces an Economic Value Added (EVA) program to focus the company on long-term shareholder value. The EVA program consists of three elements: EVA centers (business units), EVA drivers (operational practices that... View Details
Keywords: Compensation and Benefits; Employee Relationship Management; Economic Growth; Economic Systems; Management; Motivation and Incentives; Organizational Design; Organizational Structure; Performance Evaluation; Decision Choices and Conditions; Pharmaceutical Industry; Washington (state, US)
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Simons, Robert, and Indra A. Reinbergs. "Vyaderm Pharmaceuticals: The EVA Decision." Harvard Business School Case 101-019, October 2000. (Revised June 2017.)
  • May 2004 (Revised May 2006)
  • Case

AsiaInfo: The IPO Decision

The cofounder and CEO of AsiaInfo, a Chinese system integrator that built 70% of China's Internet backbone, must decide whether to list equity in the United States to fund future growth. Describes the company and the decision. A rewritten version of a previous case. View Details
Keywords: Decisions; Initial Public Offering; Growth Management; Internet and the Web; Entrepreneurship; Equity; Information Technology Industry; China; United States
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Roberts, Michael J., and Donald N. Sull. "AsiaInfo: The IPO Decision." Harvard Business School Case 804-183, May 2004. (Revised May 2006.)
  • March 2018 (Revised September 2023)
  • Case

X: The Foghorn Decision

By: Robert S. Huckman, Karim R. Lakhani and Kyle R. Myers
In February 2016, Kathy Hannun—a project leader at X, Alphabet Inc.'s so-called "moonshot factory"—had to prepare a recommendation for the senior leadership of X regarding the future of Foghorn, a project she was leading to develop a carbon-neutral process for... View Details
Keywords: Innovation; R&D Project Management; Radical Innovation; Clean Technology; Innovation and Management; Technological Innovation; Energy; Research and Development; Projects; Management; Decision Choices and Conditions; Technology Industry; Energy Industry; Green Technology Industry; California
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Huckman, Robert S., Karim R. Lakhani, and Kyle R. Myers. "X: The Foghorn Decision." Harvard Business School Case 618-060, March 2018. (Revised September 2023.)
  • 01 Jun 2009
  • News

Decisions through the Ages

WATANABE: A primer for all ages on how to think entrepreneurially. Photo Courtesy Portfolio/Penguin Group USA In business and education, Japan and the United States seem to alternate as inspirations for one another, and Ken Watanabe (MBA ’05) may be the latest guru in... View Details
Keywords: Publishing Industries (except Internet); Information
  • Article

How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

By: Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu
What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three... View Details
Keywords: Fairness; Decision Making; Perception; Attitudes; Public Opinion
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Saxena, Nripsuta, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
  • September 2020 (Revised July 2022)
  • Exercise

Artea (B): Including Customer-Level Demographic Data

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • October 2000 (Revised December 2000)
  • Exercise

Participant and Leader Behavior: Group Decision Simulation (D)

This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
Keywords: Groups and Teams; Decision Making
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"Participant and Leader Behavior: Group Decision Simulation (D)." Harvard Business School Exercise 301-029, October 2000. (Revised December 2000.)
  • October 2000 (Revised December 2000)
  • Exercise

Participant and Leader Behavior: Group Decision Simulation (F)

This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
Keywords: Groups and Teams; Decision Making
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"Participant and Leader Behavior: Group Decision Simulation (F)." Harvard Business School Exercise 301-049, October 2000. (Revised December 2000.)
  • Article

How to Tackle Your Toughest Decisions

By: Joseph L. Badaracco
The toughest calls managers have to make come in situations when they have worked hard to gather the facts and have done the best analysis they can, but they still don’t know what to do. Then judgment—a fusion of thinking, feelings, experience, imagination, and... View Details
Keywords: Management; Judgments
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Badaracco, Joseph L. "How to Tackle Your Toughest Decisions." Harvard Business Review 94, no. 9 (September 2016): 104–107.
  • February 1991
  • Case

Burlington Northern: The ARES Decision (A)

By: Julie H. Hertenstein and Robert S. Kaplan
Burlington Northern's decision whether to invest in ARES, an automated train control system, is a ($350 million) strategic investment in information technology. Although set in a service industry (railroad) the issues around this decision arise in many organizations... View Details
Keywords: Investment; Rail Transportation; Information Technology; Competitive Strategy; Performance Evaluation; Performance Effectiveness; Cost vs Benefits; Technology Adoption; Technological Innovation; Customers; Quality; Rail Industry
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Hertenstein, Julie H., and Robert S. Kaplan. "Burlington Northern: The ARES Decision (A)." Harvard Business School Case 191-122, February 1991.
  • 30 Jan 2006
  • Research & Ideas

Looking Behind Bad Decisions

political science to explain drivers behind the crafting of public policy. Now Bazerman and coauthors Jonathan Baron and Katherine Shonk are looking into the psychology of decision making to provide a fuller... View Details
Keywords: by Manda Salls
  • February 2014
  • Article

Gender Differences in Willingness to Guess

By: Katherine Baldiga Coffman
We present the results of an experiment that explores whether women are less willing than men to guess on multiple-choice tests. Our test consists of practice questions from SAT II subject tests; we vary whether a penalty is imposed for a wrong answer and the salience... View Details
Keywords: Behavioral Decision Making; Microeconomic Behavior; Education Systems; Behavior; Decision Choices and Conditions; Gender; Economics
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Coffman, Katherine Baldiga. "Gender Differences in Willingness to Guess." Management Science 60, no. 2 (February 2014): 434–448.
  • 01 Jun 2002
  • News

Ads Improve Consumer Decisions

in fact we believe consumers are generally ill-informed about products, there's a utility cost to the individual of not receiving ads,” says Anand. “Imagine a world where there's no advertising — essentially we'd be making some very... View Details
Keywords: Laura Singleton (MBA 1988)
  • 08 Aug 2005
  • Research & Ideas

Decision Rights: Who Gives the Green Light?

How a company decides who is authorized to make what types of decisions can have a profound effect on its business, both in terms of everyday effectiveness and the bottom line. Consider the experience of one... View Details
Keywords: by Peter Jacobs
  • 31 Oct 2014
  • News

Identifying the Biases Behind Your Bad Decisions

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